Package: MetaEEEA 1.0.0

Rogelio Salinas Gutiérrez

MetaEEEA: Metaheuristic Algorithms with Explicit Exploration

Solves single-objective optimization problems by using bio-inspired metaheuristic algorithms. The implemented metaheuristics are the Butterfly Optimization Algorithm, the Ladybug Beetle Optimization Algorithm and the Prairie Dog Optimization Algorithm. For all these optimization algorithms, the search of optimal values can be reinforced with the explicit exploration strategy proposed by Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.

Authors:Rogelio Salinas Gutiérrez [aut, cre, cph], Cristina Díaz Esquivel [aut, cph], Angela María Gallegos Martínez [aut, cph], Agustín Moreno Cruz [aut, cph], Miguel Angel Moreno Urbina [aut, cph], Pedro Abraham Montoya Calzada [aut, cph], Carlos Alberto López Hernández [aut, cph], Ilse Daniela Saldivar Olvera [aut, cph]

MetaEEEA_1.0.0.tar.gz
MetaEEEA_1.0.0.zip(r-4.7-any)MetaEEEA_1.0.0.zip(r-4.6-any)
MetaEEEA_1.0.0.tar.gz(r-4.7-any)MetaEEEA_1.0.0.tar.gz(r-4.6-any)
MetaEEEA_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MetaEEEA/json (API)

# Install 'MetaEEEA' in R:
install.packages('MetaEEEA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 160 downloads 3 exports 2 dependencies

Last updated from:bf93c38469. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK233
linux-releaseOK109
windows-develOK65
windows-releaseOK69
wasm-releaseOK118

Exports:boa_metaheuristiclbo_metaheuristicpdo_metaheuristic

Dependencies:EEEAmvtnorm